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个人信息
- 所在单位：农学院
- 学历：博士研究生毕业
- 学位：博士学位
- 办公地点： 生科楼A4011
- 周萌,韩晓旭,郑恒彪,程涛,田永超,朱艳,曹卫星,姚霞.基于参数化和非参数化法的棉花生物量高光谱遥感估算,中国农业科学,2021,54(2021年20期):4299-4311(参与作者)
- 闫岩,张骁,李栋,郑恒彪,姚霞,朱艳,曹卫星,程涛.Laboratory shortwave infrared reflectance spectroscopy for estimating grain protein content in rice and wheat,INTERNATIONAL JOURNAL OF REMOTE SENSING,2021,42(12):4467-4492(参与作者)
- 杨高翔,余卫国,姚霞,郑恒彪,曹强,朱艳,曹卫星,程涛.AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine,INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2021,102:-(参与作者)
- 张雪,杨高翔,徐心杰,姚霞,郑恒彪,朱艳,曹卫星,程涛.An assessment of Planet satellite imagery for county-wide mapping of rice planting areas in Jiangsu Province, China with one-class classification approaches,INTERNATIONAL JOURNAL OF REMOTE SENSING,2021,42(19):7610-7635(参与作者)
- 鲁井山,Eitel J,Jennewein J,朱杰,郑恒彪,姚霞,程涛,朱艳,曹卫星,田永超.Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation,REMOTE SENSING,2021,13(17):-(参与作者)
- Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking,REMOTE SENSING,2020,12(16):-(参与作者)
- 李栋,陈镜明,张骁,闫岩,朱杰,郑恒彪,周凯,姚霞,田永超,朱艳,程涛,曹卫星.Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time,REMOTE SENSING OF ENVIRONMENT,2020,248:-(参与作者)
- 郑恒彪,周祥,何骄阳,姚霞,程涛,朱艳,曹卫星,田永超.Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV),COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,169:-(第一作者)
- 李朋磊,张骁,王文辉,郑恒彪,姚霞,田永超,朱艳,曹卫星,Chen Q,程涛.Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning,INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2020,91:-(参与作者)
- 李松阳,Yuan, Fei,Ata-UI-Karim, Syed Tahir,郑恒彪,程涛,刘小军,田永超,朱艳,曹卫星,曹强.Combining color indices and textures of UAV-based digital imagery for rice LAI estimation,REMOTE SENSING,2019,11(15):1763(参与作者)
